Analisis Spasial Tingkat Bahaya Banjir Desa Amasing Kali Dengan Hec-RAS 2D

Abstract

The phenomenon of flooding that occurs in various parts of the world continues to increase, both in terms of frequency and amplitude. Without neglecting the morphology of the region, global climate change and changes in land use as a result of economic growth are the main factors causing this disaster. Understanding flood characteristics, be it discharge, inundation height, and their distribution in an area is very important as a basis for determining flood control efforts. This study aims to analyze the level of flood vulnerability based on the characteristics of the occurred floods. Hydrological and topographical analyzes were performed as the basis for the flow hydraulics calculations performed with Hec-RAS 2D version 5.0.7. The flood distribution simulation results with return periods of 2, 5, 10, and 25 years show that the area of ​​the village that has the potential to be inundated is ± 22.57 ha, ± 37.11 ha, ± 41.81 ha, and ± 47.27 ha, with inundation heights varying between 0.25 m. – 1.50 m, which can be classified as low to high hazard.

2d Simulation of Design Discharge in Flood Hazard Spatial Analysis Using Hec-Ras, (Case Study Mata Allo Sub-Watershed, Enrekang, Indonesia)

“…In measuring dispersion to obtain statistical parameters, the Normal Distribution, Gumbel, Normal Log, and Log Pearson III were calculated (Ben Khalfallah and Saidi, 2018;Rauf, 2021). It was found that the Log Pearson III meets the requirements in the calculation of the statistical parameter dispersion and will be used for further analysis.…”

“…Natural disasters are phenomena significantly impacting either the natural environment or human, with a high chance of damage (Popescu and Bărbulescu, 2023). Indonesia is a country with high potential for natural disasters, influenced by geological conditions and climatic factors (Rauf, 2021). Indonesia's National Disaster Management Agency noted throughout 2022 that natural disasters in Indonesia had occurred ± 2,111 times, be it extreme weather, landslides, drought, earthquakes, fires, tidal waves, abrasion, and floods.…”

“…The level of regional vulnerability to flooding can be determined by spatial modeling of floods through a review or determined from the prone aspects of flood disasters (Rauf, 2021). The flood prone index is then used to determine the level of disaster vulnerability, which consists of 2 main components, namely the likelihood of a disaster occurring and the magnitude of the disaster impact that occurs.…”

Kajian Simulasi Banjir Desa Doro Dengan Aplikasi Hecras 2d

“…Aplikasi inidifokuskan pada analisis hidrolika aliran pada penampang saluran terbuka baik untu kaliran 1D dan 2D (Brunner, 2016). Hasil analisis aplikasi ini dapat memberikan gambaran pola sebaran banjir dan tinggi genangan yang terjadi pada sebuah wilayah dengan cukup baik (Sholichin & Prayogo, 2019), (Rauf, 2021).…”